Brain Teasing Quiz
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Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
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the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
The debris of the ‘last major merger’ is dynamically young
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
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Deep Software Variability and Frictionless ReproducibilityUniversity of Rennes, INSA Rennes, Inria/IRISA, CNRS
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
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Phenomics assisted breeding in crop improvement
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
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Brain Teasing Quiz
- 3. What rocks but does not roll? Who am I ?
- 4. Answer:- A ROCKING CHAIR
- 5. What is special about these words- “Job”, “Polish”, “Herb”?
- 6. Answer:- They are pronounced differently. When the first letter is capitalized.
- 7. What is at the end of a RAINBOW? What am i?
- 8. Answer:- THE LETTER W
- 9. What goes through cities and fields but never moves? Who am I ?
- 10. Answer - A ROAD
- 11. What is made of water, But if you put it into water it will die. Who am I ?
- 12. Answer- AN ICE CUBE
- 13. I’m Clean, When I’m Black I’m Dirty, When I’m White. What am I ?
- 15. I Shoot but Never Kill What am i?
- 16. Answer:- CAMERA
- 17. What can you hold in your Left hand, Never in your Right? What am i?
- 19. I do not eat food, but I enjoy a Light meal everyday. What am i?
- 20. Answer:- A PLANT
- 21. I Fly…. Without Wings What am i?
- 22. Answer:- TIME
- 24. Which is the largest animal in the world?
- 26. Which sea animals blood blue in color?
- 27. Answer:- OCTOPUS
- 28. Which insect can live without its head for a week?
- 30. How many teeth does a mosquito have?
- 31. Answer:- 47
- 32. What is the creature that never sleeps ?
- 33. Answer:- AN ANT
- 36. Answer:- Baby Doll Mein Sone Di
- 38. Answer:- Blue Eyes Hypnotize Teri Kardi
- 40. Answer:- Mein Rang Sharbaton ka
- 42. Answer:- Sun Raha h Na Tu Ro Raha Hu Mein
- 44. Answer:- 1234 Get on the Dance Floor
- 46. Answer:- Ek Ladki Ko Dekha Toh
- 48. Each finger of human hand has how many bones? 1. One 2. Four 3. Three 4. Two
- 50. What ear secretion is also called cerumen? A. Sweat B. Earwax C. Mucous D. Lymph
- 52. Which tissue connects with muscles to bones?
- 53. Answer:– Tendons
- 54. Which animal does not have a Larva stage? 1. Lady Bird 2. Human 3. Frog 4. Luna moth
- 56. First cloned animal – a) Dolly Sheep b) Dog c) Cat
- 57. Answer:– (a) Dolly Sheep
- 58. A Biodiction (A Unit of Dr. Divya Sharma)